Trusted by Data Platforms

See Where Your Cloud Costs Are Going Before It Scales Out of Control

Understand spend, usage, and allocation in one place, detect anomalies early, and get
clear, actionable insights on what to fix and where to act.

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Core Capabilities

Key Features That Set Quper Apart

What makes Quper Powerful

Detect issues early, explain them clearly, and observe your entire cloud with confidence.

Early Signal Detection

Continuously monitor your cloud to detect unusual changes in cost, usage, allocation, and system performance as they happen. Quper identifies early signals like EC2 cost spikes, idle instances, untagged compute, query slowdowns, and cross-account drift before they turn into larger problems.
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Root Cause Explanation Engine

When something goes wrong, Quper's Vidura AI explains why in plain language. No more guesswork across scattered logs and dashboards. Get clear root cause summaries tied directly to the affected workload, query, or service.
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Unified Observability

One view across AWS, GCP, Azure, Snowflake, Databricks, and more. See your entire infrastructure cost and health in a single pane. Stop context-switching between tools to understand what's happening across your stack.
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Actionable Insights

Move from observation to action. Quper recommends right-sizing, idle resource cleanup, and query optimizations with one-click context. Every recommendation comes with the evidence and impact estimate your team needs to act fast.
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EC2 Cost

$2,184

us-east-1 · Last 4h

↑ 34% vs Baseline

$3.2K$2.8K$2.4K$2.0K

08:0008:4009:2010:0010:4011:20Now

Idle instances detected

Untagged compute

Query latency increase

Caught before it compounded.

EC2 anomaly flagged 4h early · est. $18K/mo prevented

EC2 Anomaly · CRITICAL

Analyzing anomaly…

Vidura Explains AI

EC2 cost spike caused by

3 idle instances in us-east-1

untagged · auto-scale misconfiguration

Confidence0%

Impact$0

Apply Fix →

Cost Graph

$2.4K spike detected

EC2 us-east-1

3 idle · m5.2xlarge

Tag Policy

67% compliance

Signal Sync Active · Zero Blind Spots

Total Cloud Spend

$42.8K

AWS $18.2K GCP $12.4K SF $12.2K

↑ 12% vs last week · $4.1K over budget

Query Performance

1.2K/ hr

Snowflake

Databricks

BigQuery

Avg exec: 1.4s · Efficiency: 94%

Pipeline Jobs

10active

8 runningETL ×5 · ML ×3

2 queued~4 min ETA

0 failed today · Avg runtime: 12m

Source Health

12/12All Healthy

AWS120ms

Snowflake340ms

Databricks280ms

Uptime: 99.97% · Last incident: 14d ago

EC2 Spiking in us-east-1 CRITICAL

Vidura AI

Analyzing signal...

PROACTIVE

3 idle instances identified

Auto-scale misconfig found

Projected Savings: $1,240/mo

✓ Optimization Applied

Current

$4,820

→

Optimized

$4,820

$1,240 Saved Monthly

Optimize Environment →

Meet Vidura: Your Cloud Intelligence Copilot

Vidura turns Quper's signals into clear, contextual answers, helping you understand what's happening, why it matters, and what to do next.

Ask Anything About Your Cloud & Get Answers That Actually Help

Vidura connects data to give you precise, conversational answers, so you don't just see issues, you understand them.

Ask in Plain Language

Ask about cost spikes, performance issues, usage anomalies, or allocation gaps, Vidura understands your cloud context without needing filters, dashboards, or queries.

Get Complete Context, Not Partial Answers

Vidura connects signals across cost, usage, allocation, and performance to explain what changed, what caused it, and how everything is related, in one clear answer.

Act with Clarity and Confidence

Vidura goes beyond insights to highlight what to fix, where to act, and what can be ignored, helping you make faster, smarter decisions without guesswork.

Ask anything about your cloud.

Costs, queries, performance, workloads.
Vidura has the full context.

Vidura Cost Analysis · just now

Cost spike detected in the last 24 hours.

Primary drivers identified across compute workloads.

EC2 · us-west Compute spike

$100 ↑

Redshift · concurrency Warehouse scaling

$150 ↑

Recommended Action

→ Terminate unused EC2 instances

→ Optimize Redshift scaling policy

Ask anything to Vidura Why my cost is high?|

Send

What changed in my cloud today?

Are there any performance issues right now?

Where am I overspending?

Frequently Asked Questions

Common Questions About Our Platform

Trusted by Data Teams & CXO

Quper brings clarity to complex cloud behaviour helping teams detect early signals, understand root causes, and act with precision.

Before QUPER, our monthly cloud data bills were essentially a black box. We knew we were overspending on our Spark workloads, but tracing the exact source was a nightmare. QUPER’s ability to flawlessly observe our environment and detect hidden waste at the job level changed the game. We went from guessing to knowing exactly where every dollar was going within weeks.

Ashish

Head of Data Engineering

As a fast-growing startup, our data infrastructure costs were scaling faster than our revenue. We had plenty of dashboards, but what we lacked was actionable direction. QUPER didn't just show us the spike in our data warehouse usage; its engine helped us decide which idle resources to kill and which queries to optimize. It actively guided us to a 35% reduction in our monthly cloud spend.

Arghya

VP of Data & Analytics

Managing terabyte-scale data pipelines means waste can hide in plain sight. What sets QUPER apart is the complete lifecycle. It doesn't stop at just alerting you. The seamless flow from observing our cluster utilization to detecting over-provisioned nodes, helping us decide on the right compute sizing, and automatically verifying the optimization has saved our engineering team hundreds of hours.

Amithav

Chief Data Officer

Most FinOps tools act like a rearview mirror—they tell you why you overspent last month. QUPER is different. By deeply analyzing our metadata, it detects inefficient query patterns and unoptimized storage tiers before the bill arrives. The platform empowers our engineers to decide on cost-effective architectural changes proactively. It’s now a mandatory part of our deployment pipeline.

Sneha

Co-founder & COO

The constant friction between our engineering and finance teams over cloud budgets used to be exhausting. QUPER finally gave us a shared language. The platform’s robust observe capabilities translate complex data infrastructure metrics into clear financial impact. Now, both teams have complete transparency, and we've built a true culture of cloud cost accountability.

Vikram

Director of Cloud Architecture

We migrated heavily to the cloud but brought our legacy, resource-heavy habits with us. We were paying for environments that had been abandoned for months. QUPER’s intelligent mapping instantly detected these 'ghost' clusters and orphaned storage buckets. Following its framework to optimize our setup yielded immediate ROI in our very first quarter of use.

Priya

Head of Platform Engineering

We assumed our big data clusters were running optimally because they were consistently hitting SLAs. QUPER proved us wrong. It revealed that we were massively over-provisioning compute just to handle short, bursty workloads. By using QUPER to decide on a dynamic scaling strategy, we optimized our compute usage perfectly—maintaining our SLAs while cutting our daily run costs by nearly half.

Gaurav

Co-founder & CTO

Sharing cost reports with the C-suite used to mean painful manual aggregations and slides built the night before the meeting. Now I send a Quper link and everything is live, data-driven, and actionable. Leadership actually trusts the numbers now.

Sarah Mitchell

Director of Cloud Ops

What used to take two or three days — pulling metrics, building queries, cross-referencing cost data — takes minutes with Quper. We've reclaimed a full engineer-week every month that we've redirected into actual product work.

Noah Williams

SRE Manager

Most tools flood you with alerts nobody reads. Quper surfaces only what matters — anomalies with real cost impact, ranked by severity. Clean interface, deep observability, zero noise. It's the backbone of our FinOps practice now.

Ethan Brooks

Staff Engineer

It feels like this was built by people who actually run cloud infrastructure at scale.

Oliver Scott

CTO & Co-Founder

In the first 60 days we identified $80K in annual waste we didn't even know existed — idle instances, over-provisioned warehouses, orphaned snapshots. Every dollar is now accounted for. Our cloud spend is finally under control and fully transparent.

Rohan Patel

FinOps Analyst

This platform unified our entire observability stack. Engineering and finance finally operate from the same source of truth.

Ryan Mitchell

Head of Infrastructure

Tracking warehouse performance used to be a constant fire drill. We'd only find out about a runaway query after the bill hit. Now Quper surfaces cost anomalies before they become incidents — I get an alert, investigate in-platform, and resolve it the same day. We've saved hundreds of engineer-hours this quarter alone.

Tom Collins

Data Engineering Lead

We cut our monthly cloud bill by 30% in the first quarter. Quper's recommendations aren't vague suggestions — they're precise, ranked by dollar impact, and immediately actionable. I implemented most of them the same day they surfaced.

Daniel Wu

Cloud Architect

The intelligent alerting and root cause analysis make a huge difference. Even new engineers can diagnose cost spikes instantly.

Liam O'Connor

Engineering Manager

Before Quper, our cloud costs were a black box that nobody could explain. Now every team has full visibility into their resource usage, cost allocation is automated, and we make data-driven decisions with confidence.

Alex Morgan

VP of Data & Analytics